Principal Machine Learning Engineer

This role is based in Redmond, Washington.

Compensation:

USD $139,900 - $274,800 per year

Responsibilities:

• Lead the design and development of machine learning models and systems for health and life sciences applications.
• Define technical strategy and architecture for ML pipelines.
• Collaborate with interdisciplinary teams to develop AI-augmented scientific systems.
• Mentor engineers and researchers in ML development.
• Ensure security, privacy, and regulatory compliance across ML workflows.

Qualifications:

Required: Bachelor's Degree in Computer Science or related field AND 6+ years of experience in coding with languages like C++, C#, Java, JavaScript, or Python.

Preferred: Master's Degree in Computer Science or related field AND 6+ years of experience in machine learning or applied AI.

Tech stack:

Experience with ML algorithms, model optimization, and frameworks such as PyTorch and TensorFlow.